You will get Design Your Data Warehouse Schema
Rising Talent
Rising Talent
Project details
You'll get a clean, well-structured data warehouse schema designed around your actual business questions - not a generic template. Built on hands-on experience across multiple platforms, data needs and use cases, so the model will be ready to scale and easy for your team to maintain.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Couchbase, Teradata, Realm Database, Azure Cosmos DB, LevelDBWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 4 days
- Number of Revisions 2
- Schema Diagram
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DK
Dmytro K.
May 14, 2026
You will get Data Platform strategy for your company
Excellent work. Deep data expertise - diagnosed our ARR reconciliation problem properly before recommending any tools, which reframed the whole project for us. Final doc was opinionated, clearly showed the reasoning behind every choice, and included risks and trade-offs most consultants skip. Discovery call was sharp and the follow-up answers saved me from botching a tricky internal conversation. Will hire again.
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Sviataslau S.
May 6, 2026
You will get Audit of your Data Platform
Anton was excellent to work with. He quickly understood the task, asked the right questions, and delivered a clear, high-quality solution. Communication was smooth throughout the project, and he was reliable, detail-oriented, and focused on the final outcome. I would definitely recommend Anton for data architecture, data engineering, and analytics-related work
About Anton
Senior Data Engineer | Data Architect | Databricks, Snowflake | PM
100%
Job Success
Bratislava, Slovakia - 11:37 pm local time
Your data should be an asset - not a bottleneck. I design and build enterprise-grade data platforms that scale reliably, cost less to run, and actually support the analytics and AI workloads your business depends on.
With 10+ years across Data Engineering and Data Architecture - and hands-on experience leading data teams inside a major European bank - I bring both the strategic thinking and the technical depth to take your data infrastructure from chaotic to production-ready.
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🎯 WHAT I DELIVER
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✦ Database Architecture & Data Warehouse Design
Designed multi-terabyte analytical systems on Snowflake, Redshift, and Databricks. I build clean, scalable schemas with Data Modeling best practices - so queries run fast and costs stay predictable.
✦ ETL & ETL Pipeline Development
End-to-end ETL Pipeline design and implementation with Apache Airflow, Prefect, dbt, and AWS Glue. From raw ingestion to clean, Analytics-ready layers - built for reliability and easy maintenance.
✦ Real-Time Streaming & Data Integration
Built systems processing up to 2 petabytes per hour using Apache Kafka, Apache Spark, and Delta Lake. If your business needs real-time Data Integration across multiple sources, I've done it at serious scale.
✦ Data Transformation with dbt
Modern ELT patterns using dbt for clean, version-controlled Data Transformation pipelines. dbt-first architectures that support both BI and Machine Learning downstream.
✦ Data Visualization & Reporting Foundations
Designed BI-ready data models powering Microsoft Power BI, Tableau, and Apache Superset dashboards — turning raw data into clear, trusted insights for stakeholders.
✦ Cloud Data Infrastructure (AWS · Azure · GCP)
Architected and optimized data platforms across all three major clouds. Cost analysis, infrastructure design, performance tuning — and migrations from legacy systems to modern stacks.
✦ Data Science & Machine Learning Readiness
Implemented continuous data feeds and ML pipelines for production Machine Learning systems. I build the data foundations that Data Science teams actually want to work with.
✦ Python & SQL Development
Deep Python expertise across PySpark, pandas, boto3, and custom ETL frameworks. Complex SQL tuning, query optimization, and Automation of data workflows.
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🏢 NOTABLE EXPERIENCE
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◆ Raiffeisen Bank International — Built and led a Data unit from scratch: 3 Data Analysts, 5 Data Engineers, plus 2 external consultant teams. Launched the company's entire data platform end-to-end.
◆ Cognizant — Delivered data architecture for major UK and African telecom companies, including real-time streaming platforms on Azure Databricks and AWS.
◆ DXC Technology — Processed radar, LiDAR, video, and geospatial data for an autonomous vehicle project at ~2 petabytes per hour across a geo-distributed Data Lake.
◆ EU HR SaaS — Automated PII masking and Data Analysis infrastructure on Google Cloud Platform / BigQuery to meet enterprise security standards.
◆ US Real Estate Analytics — Designed a new Data Architecture on AWS + Databricks capable of handling nation-wide property, deed, and mortgage datasets at scale.
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🛠️ CORE TECH STACK
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Platforms: Snowflake · Databricks · AWS Redshift · BigQuery · Greenplum · ClickHouse
Cloud: AWS · Azure · GCP
Languages: Python · SQL · Scala · PL/SQL
Pipelines: Apache Airflow · Prefect · dbt · AWS Glue · Apache Kafka · Apache Spark
Storage: Delta Lake · Apache Iceberg · AWS S3 · Azure Data Lake
BI: Microsoft Power BI · Tableau · Apache Superset
Automation: boto3 · Lambda · Step Functions · Docker · CI/CD
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✅ WHO I WORK BEST WITH
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◆ Companies building or rearchitecting a data platform from the ground up
◆ Teams dealing with slow pipelines, rising cloud costs, or unreliable data
◆ Startups scaling beyond what their current architecture can handle
◆ Analytics and Data Science teams that need clean, trusted data to work from
◆ Businesses integrating e-commerce or SaaS data (including Shopify) into a unified warehouse
I hold an IELTS Academic 7.0 (Advanced English), communicate clearly, and work across time zones. Expect structured updates, honest timelines, and no surprises.
📩 Send me a message with your project details — I'll respond with a clear approach within 24 hours.
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Keywords: Data Engineering · Data Architecture · ETL · ETL Pipeline · SQL · Python · Snowflake · Databricks · dbt · Apache Airflow · Apache Spark · Apache Kafka · Delta Lake · Data Warehouse · Database Architecture · Data Modeling · Data Integration · Data Transformation · Data Analysis · Data Visualization · Microsoft Power BI · Tableau · Machine Learning · Data Science · AWS · Azure · GCP · Real-Time Data Processing · Big Data · ELT · Cloud Data Platform · Data Lake · Data Quality · Data Governance · PySpark · Medallion Architecture
Steps for completing your project
After purchasing the project, send requirements so Anton can start the project.
Delivery time starts when Anton receives requirements from you.
Anton works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
With your team, we will understand your domain, data sources, and key analytical use cases
Schema Design
Model table schema, define grain, relationships, and naming conventions